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Water quality detection system using real time vision computing with trash collector

The increasing pace of industrialization and population has led to an ever-increasing demand for water, accompanied by a rise in water pollution levels. While industrial growth brings economic stability to nations, it has profound consequences for environmental resources. Both renewable and non-ren...

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Main Authors: Guan, Low Ming, Yakub, Fitri, Hanapiah, Ahmad Redzuan Mohd, Rahim, Muhamad Sharifuddin Abd, Azizan, Azizul, Ab Rashid, Mohd Zamzuri
Format: Conference or Workshop Item
Language:English
Published: 2023
Online Access:http://eprints.utem.edu.my/id/eprint/28040/1/Water%20quality%20detection%20system%20using%20real%20time%20vision%20computing%20with%20trash%20collector.pdf
http://eprints.utem.edu.my/id/eprint/28040/
https://ieeexplore.ieee.org/document/10215404
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spelling my.utem.eprints.280402024-10-17T12:22:50Z http://eprints.utem.edu.my/id/eprint/28040/ Water quality detection system using real time vision computing with trash collector Guan, Low Ming Yakub, Fitri Hanapiah, Ahmad Redzuan Mohd Rahim, Muhamad Sharifuddin Abd Azizan, Azizul Ab Rashid, Mohd Zamzuri The increasing pace of industrialization and population has led to an ever-increasing demand for water, accompanied by a rise in water pollution levels. While industrial growth brings economic stability to nations, it has profound consequences for environmental resources. Both renewable and non-renewable resources are exploited to manufacture industrial products, resulting in the production of non-degradable waste that is frequently discarded into water bodies. This research focuses on finding a viable solution to reduce river water pollution and promote awareness of river quality. The proposed solution involves the development of a water quality detection system that utilizes real-time vision computing and a litter collector to monitor water quality and collect floating debris on the water surface. The system is designed with a centralized microcontroller (Arduino Mega) acting as the control center, transmitting data to a cloud-based monitoring platform. It is integrated into the litter collector, equipped with a surveillance camera for safety during debris collection. The microcontroller also controls the movement of the Seabin using a radio frequency controller. Through the integration of an Arduino program, this research has achieved significant outcomes by enabling simultaneous monitoring of multiple water quality parameters and offering control capabilities through the frequency controller. 2023 Conference or Workshop Item PeerReviewed text en http://eprints.utem.edu.my/id/eprint/28040/1/Water%20quality%20detection%20system%20using%20real%20time%20vision%20computing%20with%20trash%20collector.pdf Guan, Low Ming and Yakub, Fitri and Hanapiah, Ahmad Redzuan Mohd and Rahim, Muhamad Sharifuddin Abd and Azizan, Azizul and Ab Rashid, Mohd Zamzuri (2023) Water quality detection system using real time vision computing with trash collector. In: 14th IEEE Control and System Graduate Research Colloquium, ICSGRC 2023, 5 August 2023, Shah Alam. https://ieeexplore.ieee.org/document/10215404
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
description The increasing pace of industrialization and population has led to an ever-increasing demand for water, accompanied by a rise in water pollution levels. While industrial growth brings economic stability to nations, it has profound consequences for environmental resources. Both renewable and non-renewable resources are exploited to manufacture industrial products, resulting in the production of non-degradable waste that is frequently discarded into water bodies. This research focuses on finding a viable solution to reduce river water pollution and promote awareness of river quality. The proposed solution involves the development of a water quality detection system that utilizes real-time vision computing and a litter collector to monitor water quality and collect floating debris on the water surface. The system is designed with a centralized microcontroller (Arduino Mega) acting as the control center, transmitting data to a cloud-based monitoring platform. It is integrated into the litter collector, equipped with a surveillance camera for safety during debris collection. The microcontroller also controls the movement of the Seabin using a radio frequency controller. Through the integration of an Arduino program, this research has achieved significant outcomes by enabling simultaneous monitoring of multiple water quality parameters and offering control capabilities through the frequency controller.
format Conference or Workshop Item
author Guan, Low Ming
Yakub, Fitri
Hanapiah, Ahmad Redzuan Mohd
Rahim, Muhamad Sharifuddin Abd
Azizan, Azizul
Ab Rashid, Mohd Zamzuri
spellingShingle Guan, Low Ming
Yakub, Fitri
Hanapiah, Ahmad Redzuan Mohd
Rahim, Muhamad Sharifuddin Abd
Azizan, Azizul
Ab Rashid, Mohd Zamzuri
Water quality detection system using real time vision computing with trash collector
author_facet Guan, Low Ming
Yakub, Fitri
Hanapiah, Ahmad Redzuan Mohd
Rahim, Muhamad Sharifuddin Abd
Azizan, Azizul
Ab Rashid, Mohd Zamzuri
author_sort Guan, Low Ming
title Water quality detection system using real time vision computing with trash collector
title_short Water quality detection system using real time vision computing with trash collector
title_full Water quality detection system using real time vision computing with trash collector
title_fullStr Water quality detection system using real time vision computing with trash collector
title_full_unstemmed Water quality detection system using real time vision computing with trash collector
title_sort water quality detection system using real time vision computing with trash collector
publishDate 2023
url http://eprints.utem.edu.my/id/eprint/28040/1/Water%20quality%20detection%20system%20using%20real%20time%20vision%20computing%20with%20trash%20collector.pdf
http://eprints.utem.edu.my/id/eprint/28040/
https://ieeexplore.ieee.org/document/10215404
_version_ 1814061452695175168
score 13.211869

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